Senior Software Engineer (Backend)

Capsa AI
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer – Machine Learning

Senior Software Engineer, Cloud Native & MLOps

Artificial Intelligence Engineer

Computer Vision Engineer - Sports Tracking

Computer Vision Engineer - Sports Tracking

Senior Machine Learning Software Engineer in Applied Physics

At a Glance

We are using AI to accelerate due diligence and deepen insights for Private Equity funds. We are hiring a senior software engineer who is comfortable contributing to all layers of the application and developing features end to end.

  • Location: London, UK (Hybrid, In-person 4 days per week)
  • ExperienceRequired: +5 years
  • Remuneration: £75k → £100k + Generous ESOP
  • Visa: Unfortunately, we don’t sponsor visas yet. You must have the right to work in the UK.


About Capsa AI

Empowering Private Equity with Advanced AI – Capsa AI is an operating system that aggregates, structures, and generates insights from company and market data.


Our AI solutions reduce time spent on mechanical tasks and increase returns by analysing vast amounts of data to provide clear, actionable insights. Our vision is to become the leading AI platform for private capital funds, transforming how private investments are analysed and managed.


Our Team and Progress

Our founding team has deep domain expertise in Private Equity and AI. Our CEO, Danyal, has over 6 years of experience in Private Equity and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are early stage startup veterans, with a passion for building great products.


Just one year after our December 2023 founding, we are already generating revenue, serving top-tier PE funds managing over £30 billion across the US, UK, and Germany. Furthermore, we’ve raised over £1.8 million in funding from prominent fintech venture capitalists and private equity angels, underscoring the confidence of industry leaders in our vision and potential.


Our Philosophy

  • Small team: Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value.
  • Simple where possible:We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school.
  • Customer obsessed:We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy.


About the Role

We are looking for a senior software engineer who wants to help shape the future of private equity and our company. As an early stage engineer you will:

  • Work directly with our founding team.
  • Help design our application architecture.
  • Ship features that our users care about, wherever they are in the stack.
  • Participate in strategy and product ideation sessions, influencing our product roadmap.

Working at Capsa AI will be hard work, it will be messy and at times it will be stressful. However, you will:

  • Experience the process of taking the company from 0.5 to 1.
  • Shape the company's vision and will have a direct impact on its success.
  • Have the opportunity for fast career growth.
  • Have the opportunity to participate in the upside of an ultra-growth venture.
  • Have fun


Apply if:

  • You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex / LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure, 
  • You have taken entire products or features from ideation to deployment and you’ve measured their impact.
  • You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
  • You thrive in a fast paced environment.
  • You like to take ownership and work independently.
  • You are excited about joining an early-stage venture.


Don’t apply if:

  • You want to work on a single layer of the application.
  • You prefer to work on well-defined problems.
  • You need clear, pre-defined processes.
  • You prefer a low-pressure environment.


Additional Perks

  • Private healthcare insurance. 
  • One month per year remote working.
  • Budget for setting up your Home-Office.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.